Instructions to use Imran1/Med-R1-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Imran1/Med-R1-v1 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Imran1/Med-R1-v1", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10739a0aa8ca05f780a61319120993ec9cc7a558852439075a140989133aff4b
- Size of remote file:
- 5.56 kB
- SHA256:
- 02c8725565d77967c113b3105c9a876ff3a53be9a76cdaaab4df94614077bf50
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.